云南高校图书馆联盟文献共享服务平台- EXPECTATION-MAXIMIZATION

EXPECTATION-MAXIMIZATION: 作品数：27被引量：40H指数：3; 导出分析报告; 相关领域：自动化与计算机技术电子电信更多>>; 相关作者：周健方承志朱宏擎刘付显舒华忠更多>>; 相关机构：东南大学空军工程大学南京大学江西师范大学更多>>; 相关期刊：《Chinese Journal of Acoustics》《Open Journal of Statistics》《Wireless Sensor Network》《High Technology Letters》更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划上海市教育委员会重点学科基金国家高技术研究发展计划更多>>

Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs: 《Energy Geoscience》2024年第4期291-305,共15页Mohammed A.Abbas Watheq J.Al-Mudhafar Aqsa Anees David A.Wood; Efficient iterative unsupervised machine learning involving probabilistic clustering analysis with the expectation-maximization(EM)clustering algorithm is applied to categorize reservoir facies by exploiting latent an...; 关键词：Cluster analysis Electrofacies classification Expectation-maximization(EM)algorithm Clastic reservoir Maximum likelihood estimate(MLE)

Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble被引量：1: 《IEEE/CAA Journal of Automatica Sinica》2022年第7期1248-1261,共14页Yi-Bo Wang Jun-Yi Hang Min-Ling Zhang; This work was supported by the National Science Foundation of China(62176055);the China University S&T Innovation Plan Guided by the Ministry of Education.; Multi-label learning deals with objects associated with multiple class labels,and aims to induce a predictive model which can assign a set of relevant class labels for an unseen instance.Since each class might possess...; 关键词：Clustering ensemble expectation-maximization al-gorithm label-specific features multi-label learning

An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System被引量：1: 《IEEE/CAA Journal of Automatica Sinica》2022年第5期907-921,共15页Zhenan Pang Xiaosheng Si Changhua Hu Zhengxin Zhang; supported by the National Key R&D Program of China(2018YFB1306100);the National Natural Science Foundation of China(61922089,61833016,62073336,61903376,61773386);the National Science Foundation of Shannxi Province(2020JQ-489,2020JM-360).; Remaining useful life(RUL)estimation approaches on the basis of the degradation data have been greatly developed,and significant advances have been witnessed.Establishing an applicable degradation model of the system ...; 关键词：Expectation-maximization(EM) hidden degradation state Kalman filter(KF) remaining useful life(RUL) unit-to-unit variability.

Bayesian operational modal analysis of a long-span cable-stayed sea-crossing bridge被引量：8: 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2020年第7期553-564,共12页Yan-long XIE Binbin LI Jian GUO; supported by the Start-up Fund from Zhejiang University(No.130000-171207704/018);the National Natural Science Foundation of China(Nos.U1709207,51578506 and 51908494)。; Sea-crossing bridges have attracted considerable attention in recent years as an increasing number of projects have been constructed worldwide.Situated in the coastal area,sea-crossing bridges are subjected to a harsh...; 关键词：Cable-stayed sea-crossing bridge Operational modal analysis(OMA) Bayesian modal identification Expectation-maximization(EM)algorithm

Performances of Clustering Methods Considering Data Transformation and Sample Size: An Evaluation with Fisheries Survey Data: 《Journal of Ocean University of China》2020年第3期659-668,共10页WO Jia ZHANG Chongliang XU Binduo XUE Ying REN Yiping; provided by the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) (No.2018SDKJ0501-2)。; Clustering is a group of unsupervised statistical techniques commonly used in many disciplines. Considering their applications to fish abundance data, many technical details need to be considered to ensure reasonable ...; 关键词：hierarchical cluster K-means cluster expectation-maximization cluster optimal number of clusters stability data transformation

Modeling Methods in Clustering Analysis for Time Series Data: 《Open Journal of Statistics》2020年第3期565-580,共16页Naglaa A. Morad; This paper is concerned about studying modeling-based methods in cluster analysis to classify data elements into clusters and thus dealing with time series in view of this classification to choose the appropriate mixe...; 关键词：Gaussian Mixture Model-Based Clustering (GMMC) The Expectation-Maximization (EM) Algorithm AIC SBC ICOMP PEU

SAGE-based algorithm for DOA estimation and array calibration in the presence of sensor location errors被引量：1: 《Journal of Systems Engineering and Electronics》2019年第6期1074-1080,共7页XIONG Kunlai LIU Zhangmeng WANG Pei; The direction of arrival(DOA) estimation problem in the presence of sensor location errors is studied and an algorithm based on space alternating generalized expectation-maximization(SAGE) is presented. First, the nar...; 关键词：direction of arrival(DOA) array calibration space alternating generalized expectation-maximization(SAGE) wide band signal.

Performance analysis of two EM-based measurement bias estimation processes for tracking systems被引量：2: 《Frontiers of Information Technology & Electronic Engineering》2018年第9期1151-1165,共15页Zhi-hua LU Meng-yao ZHU Qing-wei YE Yu ZHOU; supported by the National Natural Science Foundation of China(No.61601254);the KC Wong Magna Fund of Ningbo University,China; In target tracking, the measurements collected by sensors can be biased in some real scenarios, e.g., due to systematic error. To accurately estimate the target trajectory, it is essential that the measurement bias be...; 关键词：Non-linear state-space model Measurement bias Extended Kalman filter Extended Kalman smoothing Expectation-maximization （EM） algorithm

Haplotype Frequency Comparison for Case-Parents Data: 《Open Journal of Statistics》2018年第4期721-730,共10页Caixia Li Peixing Li; For case-parents data, the information from offspring can be used to reduce the uncertainty of parents’ haplotype. In this article we develop likelihood ratio test to compare haplotype frequencies in transmitted and ...; 关键词：HAPLOTYPE Transmission Disequilibrium TEST LIKELIHOOD RATIO TEST EXPECTATION-MAXIMIZATION Algorithm

Single Mobile Sink Based Energy Efficiency and Fast Data Gathering Protocol for Wireless Sensor Networks被引量：1: 《Wireless Sensor Network》2017年第4期117-144,共28页Shivkumar S. Jawaligi G. S. Biradar; Recently, the exponential rise in communication system demands has motivated global academia-industry to develop efficient communication technologies to fulfill energy efficiency and Quality of Service (QoS) demands. ...; 关键词：Wireless Sensor Network Data GATHERING SINGLE Mobile SINK NODE CENTRALIZED Clustering EXPECTATION-MAXIMIZATION

EXPECTATION-MAXIMIZATION